CN113539368A - Fluorescence image signal data storage and color classification method - Google Patents

Fluorescence image signal data storage and color classification method Download PDF

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CN113539368A
CN113539368A CN202111001852.9A CN202111001852A CN113539368A CN 113539368 A CN113539368 A CN 113539368A CN 202111001852 A CN202111001852 A CN 202111001852A CN 113539368 A CN113539368 A CN 113539368A
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CN113539368B (en
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石乐民
冯欣
张昕
于源华
宫平
司远
刘闪闪
单韵歌
周苇锟
降雨薇
高悦
文欣雨
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Abstract

本发明涉及一种荧光图像信号数据存储与颜色分类方法，属于微滴式数字PCR技术领域，该方法具体包括以下步骤：获取荧光图像，提取所述荧光图像中的荧光信号，并将提取到的荧光信号数据保存在data_table文件中；data_table文件采用自定义NodePoint类型的单向链表对荧光信号数据进行存储，并利用单向链表中的数据标记位完成数据颜色分类。本发明采用自定义NodePoint类型的单向链表，其包括X、Y、Temp三个数据成员，Temp为标识位的数据结构，通过自定义数据结构的方法对数据进行存储，通过数据标识位的方式完成颜色的分类，提高了数据存储及颜色分类的灵活性。

Figure 202111001852

The invention relates to a method for data storage and color classification of fluorescent image signals, belonging to the technical field of droplet digital PCR. The method specifically includes the following steps: acquiring a fluorescent image, extracting the fluorescent signal in the fluorescent image, and extracting the extracted fluorescent signal. The fluorescence signal data is stored in the data_table file; the data_table file uses a custom NodePoint type singly linked list to store the fluorescence signal data, and uses the data marker bits in the singly linked list to complete the data color classification. The invention adopts a self-defined NodePoint type singly linked list, which includes three data members, X, Y, and Temp. Temp is a data structure of an identification bit. Complete the color classification, improve the flexibility of data storage and color classification.

Figure 202111001852

Description

Fluorescent image signal data storage and color classification method
Technical Field
The invention relates to the technical field of droplet digital PCR, in particular to a fluorescent image signal data storage and color classification method.
Background
The nucleic acid quantitative technology is an important means for disease diagnosis and is the basis of precise medical treatment. The micro-Droplet digital PCR (ddPCR) is one of the quantitative nucleic acid detection means, and has the characteristics of ultra-sensitivity and absolute quantification and a large dynamic range. Compared with the real-time fluorescent quantitative PCR of the previous generation, the method has the advantages of no dependence on external standards, absolute quantification, strong repeatability and higher tolerance to inhibitors, and is widely applied to the biomedical fields of rare variation detection, accurate quantification of low-abundance templates, concomitant diagnosis and real-time monitoring of tumor treatment, detection of microorganisms and viruses and the like.
The principle of ddPCR is to generate emulsion droplets from DNA and fluorescent substance, then use each droplet as an independent reaction system for amplification, and determine the nucleic acid content by detecting whether each droplet has a fluorescent signal. The emulsion microdroplet chip is used for bearing microdroplets for PCR, and the emulsion microdroplet chip scanning imaging analyzer is an instrument for carrying out fluorescence excitation, photographing, identification and data classification on microdroplets on the chip so as to judge the microdroplet generation quality or quantify nucleic acid.
The ddPCR detection system converts the transformation curve from observing one-dimensional data into acquiring the final fluorescence intensity of each generated microdroplet, and adopts double excitation light detection, one group of excitation light sources is used for detecting the experimental effectiveness, namely ensuring the success of the PCR experiment, and the other group of excitation light sources is used for detecting the target detection gene locus. The detection data needs to be presented in two-dimensional data. However, the existing ddPCR detection system has a single data classification storage form and low data classification flexibility, and cannot realize flexible classification of data colors, so that the ddPCR detection system has great limitation in experimental data display processing.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention provides a fluorescent image signal data storage and color classification method, which can realize flexible partition of cross quadrants according to requirements, has the function of selecting data by a rectangle or polygon frame to perform color classification, and supports multiple flexible partition of data.
In order to achieve the purpose, the invention adopts the following technical scheme:
a fluorescence image signal data storage and color classification method specifically comprises the following steps:
the method comprises the following steps: acquiring a fluorescence image, extracting a fluorescence signal in the fluorescence image, and storing the extracted fluorescence signal data in a data _ table file;
step two: the data _ table file stores the fluorescent signal data by adopting a user-defined NodePoint type unidirectional linked list, and completes data color classification by utilizing a data marking bit in the unidirectional linked list.
Compared with the prior art, the invention has the following beneficial effects:
the invention adopts the user-defined NodePoint type single-direction linked list which comprises X, Y, Temp three data members, Temp is a data structure of the identification bit, the data is stored by a method of user-defining the data structure, the color classification is completed by a data identification bit mode, and the flexibility of data storage and color classification is improved.
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FIG. 1 is a flow chart of a fluorescence image signal data storage and color classification method according to the present invention;
FIG. 2 is a two-dimensional diagram of a droplet-phosphor dot in accordance with an embodiment of the present invention;
FIG. 3 is a diagram illustrating a droplet-phosphor dot rectangular classification according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating a classification of a droplet-fluorescence scattering point polygon according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention will be described in detail with reference to the accompanying drawings and preferred embodiments.
The invention aims to provide a fluorescence image signal data storage and color classification method, which can quickly extract fluorescence signals in a fluorescence image and can realize a data classification method in various forms.
In one embodiment, as shown in fig. 1, the present invention provides a fluorescence image signal data storage and color classification method, which specifically includes the following steps:
step one (S100): and acquiring a fluorescence image, extracting a fluorescence signal in the fluorescence image, and saving the extracted fluorescence signal data in a data _ table file. In this step, the AVT of the biochip reader optical system can be utilized: the MG-1236B camera and the biochip reader optical system software extract the fluorescence signals in the fluorescence image, and then the extracted fluorescence signal data is stored in a data _ table file, so that the fluorescence signal data can be rapidly stored and classified.
Step two (S200): the data _ table file stores the fluorescent signal data by adopting a user-defined NodePoint type unidirectional linked list, and completes data color classification by utilizing a data marking bit in the unidirectional linked list.
The Data _ table is a basic storage container for all Data, the Data in the container is respectively read and then stored into two single-direction chain tables of a Data _ list A and a Data _ list B of a Point type, the single-direction chain table of the Data _ list A comprises X Data members, the single-direction chain table of the Data _ list B comprises Y Data members, the single-direction chain table of the NodePoint type comprises X, Y, Temp three Data members, Temp is a Data marking bit, the Data marking bit in the shape is changed by selecting the functions of a rectangle, a polygon and the like, the Data color classification can be realized, and the Data _ table represents a required file. In the computer implementation process, an object-oriented C # programming language derived from C and C + + published by microsoft corporation is used, and named widgets used in the following are all from the.net framework4.7.2 development kit.
Further, the second step comprises the following steps:
step 1: data namespace defining an object of DataRow class, represented by SData; define List class object of Point type in System, Collection, general namespace, represented by Data _ listA and Data _ listB; defining a List class object of NodePoint type in a System, Collection, general name space, and expressing the List class object by data _ point; defining a DataTable class object in a System.Data namespace, and expressing the DataTable object by using data _ table;
step 2: the SData object calls a NewRow function, a new data row object is created, dr is used for representing, a Substring function is called circularly, a return value of the called Substring function is assigned to dr, whether an expression value in the circulating process is True or not is judged, if yes, step 3 is executed, and otherwise, step 2 is executed continuously;
and step 3: the data _ table object calls a Rows.Add function, data in the SData object are circularly assigned to the data _ table object, whether an expression value in a circulating process is True or not is judged, if yes, the step 4 is executed, and if not, the step 3 is continuously executed;
and 4, step 4: the Data _ table object calls a Foreach function to retrieve Data in the Data container, assigns a return value of the Foreach function to Data _ listA and Data _ listB respectively, judges whether an expression value in the circulation process is False, if so, executes step 5, otherwise, continues to execute step 4;
and 5: the Data _ point object circularly calls an AddRange function, Data in Data _ listA and Data _ listB are respectively assigned to an X Data member and a Y Data member in Data _ point, a Temp Data member in Data _ point is assigned to be 1, whether an expression value in the circulating process is False is judged, if yes, step 6 is executed, and if not, step 5 is continuously executed;
step 6: defining an object of a node point class, representing by a node, wherein data members included in the node object comprise a node.X, a node.Y and a node.Temp, circularly reading data in the data _ point object, assigning an X data type in the data _ point object to the node.X, assigning a Y data type in the data _ point object to the node.Y, assigning a Temp data type in the data _ point object to the node.Temp, judging whether an expression value in a circulating process is False or not, if so, executing a step 7, otherwise, continuously executing a step 6;
and 7: defining an object of a Chart control class, expressing the object by Chart _ XY, calling an AddXY function by a Points member under the Chart _ XY, circularly reading node.X, node.Y and node.Temp in the node object, displaying data, judging whether an expression value in a circulating process is False, if so, executing a step 8, otherwise, continuing to execute a step 7;
and 8: creating a mouse click trigger event under chat _ XY, expressing by start.X and start.Y, calling an Axisx method in a ChartAreas drawing area in the chat _ XY control, calling a PixelPositionToValue function, assigning a return value for calling the PixelPositionToValue function to the start.X and the start.Y, judging whether expression values of the start.X and the start.Y exist or not, if so, executing the step 9, otherwise, continuing to execute the step 8;
and step 9: defining four objects of the var class in a System namespace, respectively representing the four objects by n1, n2, n3 and n4, calling a Where function under the node object to judge the data positions of coordinate points of start.X and start.Y in the node object, and at the moment, only judging the current coordinate position and not judging the node.Temp identification position. Assigning the Where function return value to n1 when node.X in the node is greater than start.X and node.Y is greater than start.Y; assigning the Where function return value to n2 when node.X in the node is greater than start.X and node.Y is less than start.Y; assigning the Where function return value to n3 when node.X in the node is less than start.X and node.Y is greater than start.Y; when the node.X in the node is smaller than the start.X and the node.Y is smaller than the start.Y, assigning the Where function return value to n4 to complete the division of four quadrants;
step 10: defining an object of a var class in a System namespace, representing the object by n _ listA, defining a List class object of a Point type in the System namespace, representing the object by listA, calling a Foreach function by the n _ listA object to retrieve data in n1, and assigning a return value of the calling Foreach function to the listA; defining an Int class object in a System namespace, expressing the Int class object by using index, wherein the index is a loop initial value, calling a loop statement for function, retrieving data in listA, assigning the retrieved value to node.X, node.Y and node.Temp in the node object, classifying the node.Temp data meeting the condition in the step 9 into 1, judging whether the expression value in the loop process is False or not if the expression value is red, executing the step 11 if the expression value is False, otherwise, continuing to execute the step 10;
step 11: defining an object of a var class in a System namespace, representing the object by n _ listB, defining a List class object of a Point type in the System namespace, representing the object by listB, calling a Foreach function by the n _ listB object to retrieve data in n2, and assigning a return value of the calling Foreach function to the listB; defining an Int class object in a System namespace, expressing the Int class object by using index, wherein the index is a loop initial value, calling a loop statement for function, retrieving data in listB, assigning the retrieved value to node.X, node.Y and node.Temp in a node object, and judging whether an expression value in a loop process is False or not if the expression value is False if the node.Temp data in the node object is 2 in the conditions of step 9 and step 10, and judging whether the expression value in the loop process is False or not if the expression value is green, executing step 12, otherwise, continuing to execute step 11;
step 12: defining an object of a var class in a System namespace, representing the object by n _ listC, defining a List class object of a Point type in the System namespace, representing the object by listC, calling a Foreach function by the n _ listC object to retrieve data in n3, and assigning a return value of the calling Foreach function to the listC; defining an Int class object in a System namespace, expressing the Int class object by using index, wherein the index is a loop initial value, calling a loop statement for function, retrieving data in listC, assigning the retrieved value to node.X, node.Y and node.Temp in the node object, classifying the node.Temp data into 3 when the conditions of step 9 and step 10 are met, judging whether the expression value in the loop process is False or not if the expression value is black, executing step 13 if the expression value is False, otherwise, continuing to execute step 12;
step 13: defining an object of a var class in a System namespace, representing the object by n _ List D, defining a List class object of a Point type in the System namespace, representing the object by List D, calling a Foreach function by the n _ List D object to retrieve data in n4, and assigning a return value of the calling Foreach function to List D; defining an Int class object in a System namespace, expressing the Int class object by using index, wherein the index is a loop initial value, calling a loop statement for function, retrieving data in listD, assigning the retrieved value to node.X, node.Y and node.Temp in the node object, classifying the node.Temp data into 4 when the conditions of step 9 and step 10 are met, judging whether the expression value in the loop process is False or not if the expression value is blue, executing step 14 if the expression value is False, otherwise, continuing to execute step 13;
step 14: defining a Globaldata class object, defining four objects of ColorA, ColorB, ColorC and ColorD in a System.drawing namespace, defining four objects of NameA, Name B, Name C and Name D in a string namespace, and respectively distinguishing colors and selecting classification modes;
step 15: defining a Point class object in a System.Drawing namespace, representing the Point class object by tempEndPoint, defining two temporary objects of var class in the System namespace, representing a rectangular starting Point, and representing the two temporary objects by a and b respectively; calling an AxisX object in a ChartAreas drawing area under chart _ XY to call a PixelPositionToValue function, and assigning return values of the called PixelPositionToValue function to a and b; defining two temporary objects of var class in a System namespace, which are used for representing rectangular termination points and are respectively represented by c and d, calling an Axisx object in a ChartAreas drawing area under chart _ XY to call a PixelPositionToValue function, and assigning return values for calling the PixelPositionToValue function to c and d; defining a var class object in a System namespace, expressing the var class object by using the ntepa, calling a Where function under the node object to judge the data positions of coordinate points a, b, c and d in the node object, when the data in the node object simultaneously meet the conditions that a is more than or equal to a, less than or equal to b, less than or equal to c and more than or equal to d, assigning the return value of the Where function to the ntepa, circularly calling a Foreach function, resetting the node.temp value in the data in the rectangular area, judging whether the expression value in the resetting process is false, if so, executing a step 16, otherwise, continuing to execute a step 15;
step 16: respectively recording 4 areas divided by the controls in the steps 8 and 9 as nA, nB, nC and nD, when the target area is nC, the selected color is red and the selected graph is rectangular, the color of Colora is red, the name of NameA is rectangular, then assigning node.Temp to be 1, calling a Remove function in nC to Remove data with node.Temp being 1, calling an AddRange function to load the node data again, finishing the classification of rectangular red colors, judging whether the expression value in the classification process is true, if so, executing the step 17, otherwise, continuing to execute the step 16;
and step 17: when the target area is nC, the selected color is green, and the selected graph is rectangular, the color of Colora is red, the name of NameA is rectangular, at the moment, node.Temp is assigned to be 1, a Remove function is called in the node to Remove data with node.Temp being 1, an AddRange function is called to load the node data again, the classification of the green color of the rectangle is completed, whether the expression value in the classification process is true is judged, if yes, step 18 is executed, otherwise, step 17 is continuously executed;
step 18: defining a List class object of a double type in a System, Collection, general namespace, expressed by xs and ys, and defining a List class object of a Point type in the System, Collection, general namespace, expressed by points, and used for storing the position of a polygon coordinate Point; circularly calling a Foreach function, traversing a coordinate point points value of a polygon, calling an AxisX object in a ChartAreas drawing area under chart _ XY to call a PixelPositionToValue function, assigning a return value of the called PixelPositionToValue function to xs and ys, judging whether an expression value in a circulating process is false, if so, executing a step 19, otherwise, continuing to execute a step 18;
step 19: defining a PositionPnPpoly class, wherein 5 groups of parameters exist in the class, and the parameters are respectively 1: fixed point number of irregular shape, parameter 2: current x-coordinate, parameter 3: current y-coordinate, parameter 4: irregular shape x-coordinate set, parameter 5: an irregular-shaped set of y-coordinates. Dividing the polygon into an inner area and an outer area, assuming that a certain data point to be measured is in the polygon, based on a ray method, leading out a ray from the point, wherein the direction is horizontal to the right, if the intersection point of the ray and the polygon is an odd number, judging that the data point to be measured is in the polygon, and if the intersection point of the ray and the polygon is an even number, judging that the data point to be measured is outside the polygon. Defining an Int class object in a System namespace, representing by i, calling a loop statement for function, retrieving data in a parameter 1, sequentially checking each side of a polygon, calling an if function to judge a parameter 2 and a parameter 4 and a parameter 3 and a parameter 5, judging that two vertexes on one side are respectively above and below a data point to be detected, detecting the number of rays led out rightward from the data point to be detected and possibly intersecting the side, calculating parity, obtaining a result of whether the data point to be detected is in the polygon, judging whether an expression value in a loop process is true, executing a step 20, otherwise, continuing to execute a step 19;
step 20: defining a List class object of a NodePoint type in a System, Collection, general name space, expressing by result, calling an if function to judge whether a data point to be detected is in a polygon, calling an Add function, assigning a node data set of the data point to be detected in the polygon to the result, circularly calling a Foreach function, resetting a node Temp value in data in the polygon area, judging whether an expression value in the resetting process is false, if so, executing a step 21, otherwise, continuing to execute the step 20;
step 21: when the target area is nC, the color is red, and the selected graph is a polygon, the color of Colora is red, the name of NameA is a polygon, at the moment, node.Temp is assigned to be 1, a Remove function is called in the node to Remove data with node.Temp being 1, an AddRange function is called to load the node data again, the classification of the red color of the polygon is completed, whether the expression value in the classification process is true is judged, if yes, step 22 is executed, otherwise, step 21 is continuously executed;
step 22: when the target area is nC, the selected color is green, and the selected graph is a polygon, the color of Colora is red, the name of NameA is a polygon, the node.Temp is assigned to be 1, a Remove function is called in the node to Remove data with the node.Temp being 1, an AddRange function is called to reload the node data, and classification of the green color of the polygon is completed.
The steps are sequentially completed to store the fluorescence image signal data and classify the colors.
The invention has the positive effects that: the method adopts a user-defined NodePoint type single-direction linked list which comprises X, Y, Temp data members, Temp is a data structure of an identification bit, data is stored by a method of the user-defined data structure, color classification is completed by a data identification bit mode, and flexibility of data storage and color classification is improved.
The technical scheme and the technical effect of the invention are further explained below by combining specific experimental data. Fig. 2 shows a two-dimensional diagram of the droplet-fluorescent scattering points obtained by the experiment, fig. 3 and 4 show a classification diagram of rectangles and polygons of the droplet-fluorescent scattering points, in fig. 2-4, the horizontal axis shows the fluorescent intensity under HEX light, the vertical axis shows the fluorescent intensity under FAM light, the 4 divided regions respectively show blue, red, green and black regions in order from top left clockwise to bottom left, the fluorescent numbers in the blue, red, green and black regions are respectively represented by CH1+ CH2-, CH1+ CH2+, CH1-CH2+ CH1-CH2-, and the fluorescent numbers in the blue, red, green and black regions are respectively 507, 11, 63 and 4090.
As shown in fig. 3, when the selected color is red in the black region and the selected pattern is a rectangle, the number of data points in the rectangle is 3, and when the selected color is red in the green region and the selected pattern is a rectangle, the number of data points in the rectangle is 11. Wherein the fluorescence data in the green region is reduced from 63 to 52 in fig. 1, the data in the black region is reduced from 4090 to 4087 in fig. 1, and the fluorescence data in the red region is increased from 11 to 25 in fig. 1.
As shown in fig. 4, when the selected color is red in the black region and the selected pattern is a polygon, the number of data points in the polygon is 6, and when the selected color is red in the green region and the selected pattern is a polygon, the number of data points in the polygon is 7. The data in the green area is reduced from 63 to 56 in fig. 1, the data in the black area is reduced from 4090 to 4084 in fig. 1, and the data in the red area is increased from 11 to 24 in fig. 1.
Therefore, the invention can flexibly change the storage of fluorescence data and the color classification by selecting the functions of rectangle, polygon and the like and changing the data mark bit in the shape.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (3)

1.一种荧光图像信号数据存储与颜色分类方法，其特征在于，包括以下步骤：1. a fluorescence image signal data storage and color classification method, is characterized in that, comprises the following steps: 步骤一：获取荧光图像，提取所述荧光图像中的荧光信号，并将提取到的荧光信号数据保存在data_table文件中；Step 1: acquiring a fluorescence image, extracting the fluorescence signal in the fluorescence image, and saving the extracted fluorescence signal data in a data_table file; 步骤二：data_table文件采用自定义NodePoint类型的单向链表对荧光信号数据进行存储，并利用单向链表中的数据标记位完成数据颜色分类。Step 2: The data_table file uses a custom NodePoint type singly linked list to store the fluorescence signal data, and uses the data marker bits in the singly linked list to complete the data color classification. 2.根据权利要求1所述的一种荧光图像信号数据存储与颜色分类方法，其特征在于，步骤二包括以下步骤：2. A fluorescent image signal data storage and color classification method according to claim 1, wherein step 2 comprises the following steps: 步骤1：定义System.Data命名空间中的DataRow类的一个对象，用SData表示；定义System.Collections.Generic命名空间中Point类型的List类对象，用Data_listA和Data_listB表示；定义System.Collections.Generic命名空间中NodePoint类型的List类对象，用data_point表示；定义System.Data命名空间中DataTable类对象，用data_table表示；Step 1: Define an object of the DataRow class in the System.Data namespace, represented by SData; define the List class object of the Point type in the System.Collections.Generic namespace, represented by Data_listA and Data_listB; define System.Collections.Generic named The List class object of NodePoint type in the space is represented by data_point; the DataTable class object in the System.Data namespace is defined, represented by data_table; 步骤2：SData对象调用NewRow函数，创建新数据行对象，用dr表示，循环调用Substring函数，并将调用Substring函数的返回值赋值给dr，判断循环过程的表达式值是否为True，若是，则执行步骤3，否则继续执行步骤2；Step 2: The SData object calls the NewRow function to create a new data row object, which is represented by dr, calls the Substring function in a loop, and assigns the return value of the Substring function call to dr to determine whether the expression value of the loop process is True, and if so, then Go to step 3, otherwise continue to step 2; 步骤3：data_table对象调用Rows.Add函数，将SData对象中的数据循环赋值给data_table对象，判断循环过程的表达式值是否为True，若是，则执行步骤4，否则继续执行步骤3；Step 3: The data_table object calls the Rows.Add function, assigns the data loop in the SData object to the data_table object, and judges whether the expression value of the loop process is True, if so, go to Step 4, otherwise continue to Step 3; 步骤4：data_table对象调用Foreach函数对数据容器中的数据进行检索，并将调用Foreach函数的返回值分别赋值给Data_listA、Data_listB，判断循环过程的表达式值是否为False，若是，则执行步骤5，否则继续执行步骤4；Step 4: The data_table object calls the Foreach function to retrieve the data in the data container, and assigns the return value of calling the Foreach function to Data_listA and Data_listB respectively, and judges whether the expression value of the loop process is False, if so, go to Step 5, Otherwise, continue to step 4; 步骤5：data_point对象循环调用AddRange函数，将Data_listA、Data_listB中的数据分别赋值给data_point中的X数据成员与Y数据成员，data_point中的Temp数据成员赋值为1，判断循环过程的表达式值是否为False，若是，则执行步骤6，否则继续执行步骤5；Step 5: The data_point object cyclically calls the AddRange function, and assigns the data in Data_listA and Data_listB to the X data member and the Y data member in data_point respectively, and the Temp data member in data_point is assigned to 1. Determine whether the expression value of the loop process is False, if yes, then go to step 6, otherwise continue to go to step 5; 步骤6：定义NodePoint类的一个对象，用node表示，node对象包括的数据成员有node.X、node.Y以及node.Temp，循环读取data_point对象中的数据，将data_point对象中的X数据类型赋值给node.X，将data_point对象中的Y数据类型赋值给node.Y，将data_point对象中的Temp数据类型赋值给node.Temp，判断循环过程的表达式值是否为False，若是，则执行步骤7，否则继续执行步骤6；Step 6: Define an object of the NodePoint class, represented by node, the data members included in the node object include node.X, node.Y and node.Temp, read the data in the data_point object cyclically, and convert the X data type in the data_point object Assign the value to node.X, assign the Y data type in the data_point object to node.Y, assign the Temp data type in the data_point object to node.Temp, and determine whether the expression value of the loop process is False, and if so, execute the steps 7, otherwise continue to step 6; 步骤7：定义Chart控件类的一个对象，用chart_XY表示，chart_XY下的Points成员调用AddXY函数，循环读取node对象中的node.X、node.Y以及node.Temp，进行数据显示，判断循环过程的表达式值是否为False，若是，则执行步骤8，否则继续执行步骤7；Step 7: Define an object of the Chart control class, which is represented by chart_XY. The Points member under chart_XY calls the AddXY function to read node.X, node.Y and node.Temp in the node object cyclically, display the data, and judge the cycle process Whether the expression value of is False, if so, go to step 8, otherwise continue to step 7; 步骤8：创建chart_XY下鼠标点击触发事件，用start.X、start.Y表示，调用chart_XY控件内的ChartAreas绘图区域里的AxisX方法，该方法调用PixelPositionToValue函数，并将调用PixelPositionToValue函数的返回值赋值给start.X和start.Y，判断start.X和start.Y的表达式值是否存在，若存在，则执行步骤9，否则继续执行步骤8；Step 8: Create a mouse click trigger event under chart_XY, denoted by start.X, start.Y, call the AxisX method in the ChartAreas drawing area in the chart_XY control, this method calls the PixelPositionToValue function, and assigns the return value of calling the PixelPositionToValue function to start.X and start.Y, determine whether the expression values of start.X and start.Y exist, if so, go to step 9, otherwise continue to step 8; 步骤9：定义System命名空间中var类的四个对象，分别用n1、n2、n3、n4表示，调用node对象下的Where函数判断start.X和start.Y的坐标点在node对象中的数据位置，当node.X大于start.X且node.Y大于start.Y时，将Where函数返回值赋值给n1；当node.X大于start.X且node.Y小于start.Y时，将Where函数返回值赋值给n2；当node.X小于start.X且node.Y大于start.Y时，将Where函数返回值赋值给n3；当node.X小于start.X且node.Y小于start.Y时，将Where函数返回值赋值给n4，完成四象限的划分；Step 9: Define the four objects of the var class in the System namespace, which are represented by n1, n2, n3, and n4 respectively, and call the Where function under the node object to determine the data of the coordinate points of start.X and start.Y in the node object Position, when node.X is greater than start.X and node.Y is greater than start.Y, assign the return value of Where function to n1; when node.X is greater than start.X and node.Y is less than start.Y, assign Where function The return value is assigned to n2; when node.X is less than start.X and node.Y is greater than start.Y, the return value of the Where function is assigned to n3; when node.X is less than start.X and node.Y is less than start.Y , assign the return value of the Where function to n4 to complete the four-quadrant division; 步骤10：定义System命名空间中var类的对象，用n_listA表示，定义System.Collections.Generic命名空间中Point类型的List类对象，用listA表示，n_listA对象调用Foreach函数对n1中的数据进行检索，并将调用Foreach函数的返回值赋值给listA；定义System命名空间中的Int类对象，用index表示，index为循环初始值，调用循环语句for函数，对listA中的数据进行检索，并将检索到的值赋值给node对象中的node.X、node.Y以及node.Temp，此时满足步骤9中的条件的node.Temp数据分类为1，node对象中数据颜色为红色，判断循环过程的表达式值是否为False，若是，则执行步骤11，否则继续执行步骤10；Step 10: Define the object of the var class in the System namespace, represented by n_listA, define the List class object of the Point type in the System.Collections.Generic namespace, represented by listA, the n_listA object calls the Foreach function to retrieve the data in n1, And assign the return value of calling the Foreach function to listA; define the Int class object in the System namespace, represented by index, index is the initial value of the loop, call the loop statement for function, retrieve the data in listA, and retrieve the The value of is assigned to node.X, node.Y and node.Temp in the node object. At this time, the node.Temp data that satisfies the conditions in step 9 is classified as 1, and the color of the data in the node object is red, and the expression of the cycle process is judged. Whether the formula value is False, if so, go to step 11, otherwise continue to step 10; 步骤11：定义System命名空间中var类的对象，用n_listB表示，定义System.Collections.Generic命名空间中Point类型的List类对象，用listB表示，n_listB对象调用Foreach函数对n2中的数据进行检索，并将调用Foreach函数的返回值赋值给listB；定义System命名空间中的Int类对象，用index表示，index为循环初始值，调用循环语句for函数，对listB中的数据进行检索，并将检索到的值赋值给node对象中的node.X、node.Y以及node.Temp，此时满足步骤9、步骤10条件中node.Temp数据分类为2，node对象中数据颜色为绿色，判断循环过程的表达式值是否为False，若是，则执行步骤12，否则继续执行步骤11；Step 11: Define the object of the var class in the System namespace, represented by n_listB, define the List class object of the Point type in the System.Collections.Generic namespace, represented by listB, the n_listB object calls the Foreach function to retrieve the data in n2, And assign the return value of calling the Foreach function to listB; define the Int class object in the System namespace, represented by index, index is the initial value of the loop, call the loop statement for function, retrieve the data in listB, and retrieve the The value is assigned to node.X, node.Y and node.Temp in the node object. At this time, the node.Temp data classification in step 9 and step 10 is satisfied, and the data color in the node object is green. Whether the expression value is False, if so, go to step 12, otherwise continue to step 11; 步骤12：定义System命名空间中var类的对象，用n_listC表示，定义System.Collections.Generic命名空间中Point类型的List类对象，用listC表示，n_listC对象调用Foreach函数对n3中的数据进行检索，并将调用Foreach函数的返回值赋值给listC；定义System命名空间中的Int类对象，用index表示，index为循环初始值，调用循环语句for函数，对listC中的数据进行检索，并将检索到的值赋值给node对象中的node.X、node.Y以及node.Temp，此时满足步骤9、步骤10条件中node.Temp数据分类为3，node对象中数据颜色为黑色，判断循环过程的表达式值是否为False，若是，则执行步骤13，否则继续执行步骤12；Step 12: Define the object of the var class in the System namespace, represented by n_listC, define the List class object of the Point type in the System.Collections.Generic namespace, represented by listC, the n_listC object calls the Foreach function to retrieve the data in n3, And assign the return value of calling the Foreach function to listC; define the Int class object in the System namespace, represented by index, index is the initial value of the loop, call the loop statement for function, retrieve the data in listC, and retrieve the The value of is assigned to node.X, node.Y and node.Temp in the node object. At this time, the node.Temp data classification in step 9 and step 10 is satisfied, and the data color in the node object is black. Whether the expression value is False, if so, go to step 13, otherwise continue to execute step 12; 步骤13：定义System命名空间中var类的对象，用n_listD表示，定义System.Collections.Generic命名空间中Point类型的List类对象，用listD表示，n_listD对象调用Foreach函数对n4中的数据进行检索，并将调用Foreach函数的返回值赋值给listD；定义System命名空间中的Int类对象，用index表示，index为循环初始值，调用循环语句for函数，对listD中的数据进行检索，并将检索到的值赋值给node对象中的node.X、node.Y以及node.Temp，此时满足步骤9、步骤10条件中node.Temp数据分类为4，node对象中数据颜色为蓝色，判断循环过程的表达式值是否为False，若是，则执行步骤14，否则继续执行步骤13；Step 13: Define the object of the var class in the System namespace, represented by n_listD, define the List class object of the Point type in the System.Collections.Generic namespace, represented by listD, the n_listD object calls the Foreach function to retrieve the data in n4, And assign the return value of calling the Foreach function to listD; define the Int class object in the System namespace, represented by index, index is the initial value of the loop, call the loop statement for function, retrieve the data in listD, and retrieve the The value is assigned to node.X, node.Y and node.Temp in the node object. At this time, the node.Temp data classification in step 9 and step 10 is satisfied, and the data color in the node object is blue, and the cycle process is judged Whether the expression value of is False, if yes, then go to step 14, otherwise continue to go to step 13; 步骤14：定义GlobalData类对象，在类对象中定义System.Drawing命名空间中的ColorA、ColorB、ColorC、ColorD四个对象，定义string命名空间中的NameA、Name B、NameC、Name D四个对象，分别用于进行颜色及选择分类方式的区分；Step 14: Define the GlobalData class object, define the four objects of ColorA, ColorB, ColorC, and ColorD in the System.Drawing namespace in the class object, and define the four objects of NameA, NameB, NameC, and NameD in the string namespace, They are used to distinguish colors and select classification methods; 步骤15：定义System.Drawing命名空间中的Point类对象，用tempEndPoint表示，定义System命名空间中的var类的两个用于表示矩形起始点的临时对象，分别用a、b表示；调用chart_XY下ChartAreas绘图区域里的AxisX对象调用PixelPositionToValue函数，并将调用PixelPositionToValue函数的返回值赋值给a和b；定义System命名空间中的var类的两个用于表示矩形终止点的临时对象，分别用c、d表示，调用chart_XY下ChartAreas绘图区域里的AxisX对象调用PixelPositionToValue函数，并将调用PixelPositionToValue函数的返回值赋值给c和d；定义System命名空间中的var类对象，用ntempA表示，调用node对象下的Where函数判断a、b、c、d的坐标点在node对象中的数据位置，当node对象中的数据同时满足大于等于a且小于等于b且小于等于c且大于等于d时，将Where函数的返回值赋值给ntempA，循环调用Foreach函数，将矩形区域内的数据中的node.Temp值进行重置，判断重置过程的表达式值是否为false，若是，则执行步骤16，否则继续执行步骤15；Step 15: Define the Point class object in the System.Drawing namespace, represented by tempEndPoint, and define two temporary objects of the var class in the System namespace that are used to represent the starting point of the rectangle, represented by a and b respectively; call chart_XY down The AxisX object in the ChartAreas drawing area calls the PixelPositionToValue function, and assigns the return value of calling the PixelPositionToValue function to a and b; define two temporary objects of the var class in the System namespace that represent the termination point of the rectangle, using c, d means, call the AxisX object in the ChartAreas drawing area under chart_XY to call the PixelPositionToValue function, and assign the return value of calling the PixelPositionToValue function to c and d; define the var class object in the System namespace, represented by ntempA, and call the node object The Where function judges the data positions of the coordinate points of a, b, c, and d in the node object. When the data in the node object is greater than or equal to a and less than or equal to b and less than or equal to c and greater than or equal to d, the Where function The return value is assigned to ntempA, the Foreach function is called in a loop, the node.Temp value in the data in the rectangular area is reset, and it is judged whether the expression value of the reset process is false, if so, go to step 16, otherwise continue to go to step 15; 步骤16：将通过步骤8、步骤9对控件划分后的4个区域分别记为nA、nB、nC、nD，当目标区域为nC，选择颜色为红色且选择图形为矩形时，ColorA的颜色为红色，NameA的名称为矩形，此时将node.Temp赋值为1，在nC中调用Remove函数移除node.Temp为1的数据，并调用AddRange函数重新对node数据进行加载，完成矩形红颜色的分类，判断分类过程的表达式值是否为true，若是，则执行步骤17，否则继续执行步骤16；Step 16: Denote the 4 areas divided by the controls in steps 8 and 9 as nA, nB, nC, and nD respectively. When the target area is nC, the selection color is red and the selection graph is a rectangle, the color of ColorA is Red, the name of NameA is a rectangle. At this time, assign node.Temp to 1, call the Remove function in nC to remove the data whose node.Temp is 1, and call the AddRange function to reload the node data to complete the rectangle red color. Classification, determine whether the expression value of the classification process is true, if so, go to step 17, otherwise continue to execute step 16; 步骤17：当目标区域为nC，选择颜色为绿色且选择图形为矩形时，ColorA的颜色为红色，NameA的名称为矩形，此时将node.Temp赋值为1，在node中调用Remove函数移除node.Temp为1的数据，并调用AddRange函数重新对node数据进行加载，完成矩形绿颜色的分类，判断分类过程的表达式值是否为true，若是，则执行步骤18，否则继续执行步骤17；Step 17: When the target area is nC, the selection color is green, and the selection graph is a rectangle, the color of ColorA is red, and the name of NameA is a rectangle. At this time, assign node.Temp to 1, and call the Remove function in node to remove it. The node.Temp is 1 data, and the AddRange function is called to reload the node data to complete the classification of the rectangular green color, and determine whether the expression value of the classification process is true. If so, go to step 18, otherwise continue to step 17; 步骤18：定义System.Collections.Generic命名空间中double类型的List类对象，用xs、ys表示，定义System.Collections.Generic命名空间中Point类型的List类对象，用points表示，用于存储多边形坐标点的位置；循环调用Foreach函数，将多边形的坐标点points值遍历，调用chart_XY下ChartAreas绘图区域里的AxisX对象调用PixelPositionToValue函数，并将调用PixelPositionToValue函数的返回值赋值给xs和ys，判断循环过程的表达式值是否为false，若是，则执行步骤19，否则继续执行步骤18；Step 18: Define a List class object of double type in the System.Collections.Generic namespace, represented by xs and ys, and define a List class object of type Point in the System.Collections.Generic namespace, represented by points, which are used to store polygon coordinates The position of the point; the Foreach function is called in a loop to traverse the point values of the coordinate points of the polygon, and the AxisX object in the ChartAreas drawing area under chart_XY is called to call the PixelPositionToValue function, and assign the return value of the PixelPositionToValue function to xs and ys to judge the loop process. Whether the expression value is false, if so, go to step 19, otherwise continue to step 18; 步骤19：定义PositionPnpoly类，类中存在5组参数，分别为参数1：不规则形状的定点数，参数2：当前x坐标，参数3：当前y坐标，参数4：不规则形状x坐标集合，参数5：不规则形状y坐标集合；定义System命名空间中的Int类对象，用i表示，i为循环初始值，调用循环语句for函数，对参数1中的数据进行检索，依次检验多边形的每条边，然后调用if函数判断参数2与参数4以及参数3与参数5，判断一条边上的两个顶点分别在待测数据点的上方和下方，检测待测数据点向右引出的射线有可能与该条边相交的个数，求取奇偶性，得出待测数据点是否在多边形内的结果，判断循环过程的表达式值是否为true，则执行步骤20，否则继续执行步骤19；Step 19: Define the PositionPnpoly class. There are 5 sets of parameters in the class, which are parameter 1: fixed point number of irregular shape, parameter 2: current x coordinate, parameter 3: current y coordinate, parameter 4: irregular shape x coordinate set, Parameter 5: Irregular shape y coordinate set; define the Int class object in the System namespace, represented by i, i is the initial value of the loop, call the loop statement for function, retrieve the data in parameter 1, and check each polygon in turn. Then call the if function to judge parameters 2 and 4, and parameters 3 and 5, and judge that the two vertices on an edge are above and below the data point to be measured, respectively. The rays drawn to the right of the data point to be measured are: The number of possible intersections with this edge, find the parity, get the result of whether the data point to be measured is within the polygon, and judge whether the expression value of the loop process is true, then execute step 20, otherwise continue to execute step 19; 步骤20：定义System.Collections.Generic命名空间中NodePoint类型的List类对象，用result表示，调用if函数判断待测数据点是否在多边形内，调用Add函数，将待测数据点在多边形内的node数据集赋值给result，循环调用Foreach函数，将多边形区域内的数据中的node.Temp值进行重置，判断重置过程的表达式值是否为false，若是，则执行步骤21，否则继续执行步骤20；Step 20: Define the List class object of NodePoint type in the System.Collections.Generic namespace, represented by result, call the if function to judge whether the data point to be measured is inside the polygon, call the Add function, and put the data point to be measured in the node inside the polygon The data set is assigned to result, the Foreach function is called in a loop, the node.Temp value in the data in the polygon area is reset, and it is judged whether the expression value of the reset process is false, if so, go to step 21, otherwise continue to the step 20; 步骤21：当目标区域为nC，选择颜色为红色且选择图形为多边形时，ColorA的颜色为红色，NameA的名称为多边形，此时将node.Temp赋值为1，在node中调用Remove函数移除node.Temp为1的数据，并调用AddRange函数重新对node数据进行加载，完成多边形红颜色的分类，判断分类过程的表达式值是否为true，若是，则执行步骤22，否则继续执行步骤21；Step 21: When the target area is nC, the selected color is red, and the selected graphic is a polygon, the color of ColorA is red, and the name of NameA is a polygon. At this time, assign node.Temp to 1, and call the Remove function in node to remove it. The node.Temp is 1 data, and the AddRange function is called to reload the node data to complete the classification of the polygon red color, and determine whether the expression value of the classification process is true. If so, go to step 22, otherwise continue to step 21; 步骤22：当目标区域为nC，选择颜色为绿色且选择图形为多边形时，ColorA的颜色为红色，NameA的名称为多边形，此时将node.Temp赋值为1，在node中调用Remove函数移除node.Temp为1的数据，并调用AddRange函数重新对node数据进行加载，完成多边形绿颜色的分类。Step 22: When the target area is nC, the selected color is green, and the selected graphic is a polygon, the color of ColorA is red, and the name of NameA is a polygon. At this time, assign node.Temp to 1, and call the Remove function in node to remove it. The node.Temp is the data of 1, and the AddRange function is called to reload the node data to complete the classification of the green color of the polygon. 3.根据权利要求1所述的一种荧光图像信号数据存储与颜色分类方法，其特征在于，在步骤一中，利用生物芯片阅读仪光学系统的AVT：MG-1236B相机和生物芯片阅读仪光学系统软件对荧光图像中的荧光信号进行提取。3. a kind of fluorescence image signal data storage and color classification method according to claim 1, is characterized in that, in step 1, utilizes the AVT of the optical system of biochip reader: MG-1236B camera and biochip reader optics The system software extracts the fluorescence signal in the fluorescence image.
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